🟢 Open to work
I combine Excel, AI tools, and data analysis to create financial models, visualizations, and investor-ready reports.
Projects include Beats By Dre data analytics, Energy Innovation Capital startup sourcing, and an Excel+AI financial-modeling sprint producing forecasts, DCFs, and decks.
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Beats By Dre · Sep 2025 · ✅ Verified by Extern
Gain valuable experience in analyzing both qualitative and quantitative data to help businesses make data-driven decisions. Learn how to clean, analyze, and visualize customer data, with practical applications for careers in data analytics, marketing, and business strategy.
Energy Innovation Capital · Dec 2025 · ✅ Verified by Extern
Think like a venture capitalist—faster with AI. Use AI-driven tools, databases, and market maps to spot and analyze energy, industrial, and sustainability startups, then craft investor-ready reports to pitch them like a pro.
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Extern · ✅ Verified by Extern · ⏱️ In progress
Build a three-statement model, forecast with drivers, run a DCF, and pitch a company like a pro. In this 3-week sprint, GPT helps you work faster—so you can walk away with real valuation skills and a polished investor deck.
I combine Excel, AI tools, and data analysis to create financial models, visualizations, and investor-ready reports.
I am Quyen Nguyen, a Business Administration student at Keiser University who has completed externships in data analytics, venture deal sourcing, and Excel plus AI financial modeling. I build financial models, analyze qualitative and quantitative data, and prepare investor-style reports and decks.
Externships
Excel & AI Financial-Modeling Sprint
In progress
Experience
Logistic Intern
Synnex FPT · Sep 2025 - Nov 2025
Remote Extern
Beats by Dr dre · Feb, 2025-Jul, 2025
Remote Extern
Pre.dev · Sep, 2024-Nov, 2024
Remote Extern
Expedia · Sep, 2024-Oct, 2024
Education
Broward Vietnam
Associate of Science in Business Administration · Class of 2024
Swinburne Vietnam
Bachelor of Business of Logistics and Supply Chain Management · Class of 2027
Skills
✅ Verified by Extern
Gain valuable experience in analyzing both qualitative and quantitative data to help businesses make data-driven decisions. Learn how to clean, analyze, and visualize customer data, with practical applications for careers in data analytics, marketing, and business strategy.
The work combined survey analysis, segmentation, sentiment scoping, and presentation design to turn raw consumer data into structured insights. It grouped respondents into five segments, computed usage and satisfaction metrics across ownership and spending, outlined sentiment and EDA approaches, and produced a slide deck with charts summarizing methodology, feature priorities, pricing, and
I produced a segmented consumer profile (five segments), computed quantitative metrics from survey data highlighting drivers like sound quality and price, drafted a structured sentiment-analysis plan, and delivered a Gamma slide deck with charts and recommendations.
✅ Verified by Extern
Think like a venture capitalist—faster with AI. Use AI-driven tools, databases, and market maps to spot and analyze energy, industrial, and sustainability startups, then craft investor-ready reports to pitch them like a pro.
The externship work used AI tools and market research to source, evaluate, and package investment-ready analysis on early-stage energy and sustainability startups. Work included a sourced list of five startups with structured profiles, a company due-diligence overview for Vitro3D, eight synthesis reports (including a Synergy Report), and a three-slide investment memo distilled from those
I produced a packaged diligence set: five sourced startup profiles, a detailed company overview for Vitro3D, eight synthesis reports including a Synergy Report, and a three-slide investment memo.
✅ Verified by Extern · ⏱️ In progress
Build a three-statement model, forecast with drivers, run a DCF, and pitch a company like a pro. In this 3-week sprint, GPT helps you work faster—so you can walk away with real valuation skills and a polished investor deck.
The project produced a full financial model and valuation for a public company selected for its modelability. Work included assembling historical statements, forecasting drivers into a three-statement model, and running a discounted cash flow valuation; deliverables also included source documents used to build the model.
I completed a short modeling sprint that started with company selection and sourcing the firm's SEC filings, then moved into building the three-statement model and running a DCF valuation.
